Questions tagged [spatial-interaction-model]
The spatial-interaction-model tag has no usage guidance.
17
questions
2
votes
1answer
116 views
Point process model diagnostic: Nearest-Neighbor Distance Distribution or Pair Correlation Function?
I have a point pattern which is clearly inhomogeneous. Furthermore, the inhomogeneity has two components: a large scale effect and a local scale effect. I have constructed a Markov point process model ...
1
vote
0answers
10 views
why variogram models take only one independent variable
lznr.vgm = variogram(log(zinc)~sqrt(dist), meuse)
i am using meuse data for practicing to create variogram models, but i am confused to know there are 14 ...
2
votes
0answers
34 views
Handling error with spatially lagged variable that is related to but distinct from outcome variable. SAR, CAR, Durbin, or lagged X?
I am estimating a diffusion model in which I am using spatial lags to predict an outcome variable, but I'm having trouble specifying the distribution of the error term because the lagged variable is ...
1
vote
0answers
22 views
Options for spatially correlated outputs (i.e. structured regression)?
I have a convolutional neural network which takes a 40x40 real valued input, and maps it to a real valued 40x40 output. I've optimized the number of convolution layers, filter size, hidden layer size, ...
1
vote
0answers
318 views
Problem when fitting spatial regression with repeated measures
I am trying to fit a spatial lag model in R (spdep::lagsarlm), after having built a neighbour distance matrix. I have two questions, because every time I read about ...
1
vote
1answer
352 views
What is the difference between accounting for anisotropy and trend removal when performing Kriging?
Without being geostatistician, I read a bit about anisotropy detection, mostly from ArcGIS documentation and the R gstat package tutorial. But still, it is hard to have a confident understanding of ...
3
votes
0answers
205 views
Whats the deal with Spatial Durbin Models and non-spattial interactions?
I have really been curious about this, but I have been searching around for studies which utilize Spatial Durbin models and I have yet to find any one model that has incorporated the use of ...
2
votes
0answers
169 views
Negative spatial correlation interpretation
I'm estimating a spatial lag model that tests whether the geographical closeness on stores has an effect on sales.
I have a negative, statistically significant rho coefficient for my spatial weight ...
0
votes
1answer
129 views
How to statistically describe the spatial relationship among the variables
I have identified the points of forest loss (lat-long), these points are categorized by year (like 2001, 2002 etc.). I have created another raster that has pixel values of distance from the nearest ...
3
votes
0answers
1k views
Performing spatial logistic regression in R
I am trying to perform a logistic regression with the following code
Y ~ x1+x2+x3,data=data, family=binomial(link="logit").
However on inspection of both the ...
1
vote
0answers
395 views
Help with R packages to use in my spatial discrete choice model
I am at a loss as to which R package and approach to use for my modeling. The background is: I have a transportation cross-sectional survey dataset combined with many other GIS datasets. I am ...
0
votes
0answers
594 views
Spatial regression using GAM in R
I have some spatial data, that is a value for a dependent variable y, vs an independent variable x, along with lat, longs for the measurement. Y is a quadratic function of x, but the nature of the ...
3
votes
1answer
2k views
Analysis of spatial data over time and space
I have a data set having year-wise monthly average of minimum and maximum temperatures of 32 stations around the country since 1948. The latitude and longitude of the stations are given as well. I ...
4
votes
2answers
187 views
How to analyse spatial data where the depending variable is binary
I have to test which factors influence game damage in fields. I mapped areas with damage and those without. It was not always possible to map 100% of a field, so there are also areas where it is ...
5
votes
3answers
6k views
Account for spatial autocorrelation with a binomial regression model
I am using a binomial regression model for presence/absence, with 20 independent variables to test. The data has x and y coordinates and I would like to understand how can I take into account the ...
1
vote
1answer
49 views
Noise correlations depending on distance
If one has noise being generated over time $t\in[a,b]$, and the correlations of the value of the noise at times $t_0$ and $t_1$ turn out to be distributed according to a density function that depends ...
3
votes
2answers
410 views
Are the $1-SSe/SSt$ and $cor^2$ calculations of $R^2$ always equivalent?
I am trying to calculate the $R^2$ value for a production constrained spatial interaction model, using Fotheringham and O'Kelly (1989) as my guide.
I get dramatically different values for R-Square, ...
